Book Image

Hands-On Geospatial Analysis with R and QGIS

By : Shammunul Islam, Brad Hamson
Book Image

Hands-On Geospatial Analysis with R and QGIS

By: Shammunul Islam, Brad Hamson

Overview of this book

Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier. This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding. Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms. By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.
Table of Contents (12 chapters)
GRASS, Graphical Modelers, and Web Mapping

Installing QGIS

QGIS is a free and open source geographic information system (GIS) that we can use for various spatial data management and analysis tasks for different fields, such as geography, environmental science, disaster management, urban planning, climate science, and many other fields that use spatial data. The strength of QGIS lies in the fact that it is an open source platform coupled with different plugins available for computing different tasks.

QGIS can be installed in different operating systems such as Windows, Mac, Linux, Android, and so on. QGIS can be installed from the following site:

After going to the previously mentioned website, we will scroll down and click on QGIS-OSGeo4W-3.2.2-1-Setup-x86_64.exe to download QGIS 3.2.2-1 (or click on the installer relevant to the operating system you are using):

Now, if you are a Mac user, you need to install the Geospatial Data Abstraction Library (GDAL) framework and the matplotlib module of Python before installing QGIS. You can do so from this address: